{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## K-means Clustering in Python using OpenAI\n",
    "\n",
    "We use a simple k-means algorithm to demonstrate how clustering can be done. Clustering can help discover valuable, hidden groupings within the data. The dataset is created in the [Get_embeddings_from_dataset Notebook](Get_embeddings_from_dataset.ipynb)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1000, 1536)"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# imports\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from ast import literal_eval\n",
    "\n",
    "# load data\n",
    "datafile_path = \"./data/fine_food_reviews_with_embeddings_1k.csv\"\n",
    "\n",
    "df = pd.read_csv(datafile_path)\n",
    "df[\"embedding\"] = df.embedding.apply(literal_eval).apply(np.array)  # convert string to numpy array\n",
    "matrix = np.vstack(df.embedding.values)\n",
    "matrix.shape\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1. Find the clusters using K-means"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We show the simplest use of K-means. You can pick the number of clusters that fits your use case best."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/homebrew/lib/python3.11/site-packages/sklearn/cluster/_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Cluster\n",
       "0    4.105691\n",
       "1    4.191176\n",
       "2    4.215613\n",
       "3    4.306590\n",
       "Name: Score, dtype: float64"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.cluster import KMeans\n",
    "\n",
    "n_clusters = 4\n",
    "\n",
    "kmeans = KMeans(n_clusters=n_clusters, init=\"k-means++\", random_state=42)\n",
    "kmeans.fit(matrix)\n",
    "labels = kmeans.labels_\n",
    "df[\"Cluster\"] = labels\n",
    "\n",
    "df.groupby(\"Cluster\").Score.mean().sort_values()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Clusters identified visualized in language 2d using t-SNE')"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.manifold import TSNE\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "tsne = TSNE(n_components=2, perplexity=15, random_state=42, init=\"random\", learning_rate=200)\n",
    "vis_dims2 = tsne.fit_transform(matrix)\n",
    "\n",
    "x = [x for x, y in vis_dims2]\n",
    "y = [y for x, y in vis_dims2]\n",
    "\n",
    "for category, color in enumerate([\"purple\", \"green\", \"red\", \"blue\"]):\n",
    "    xs = np.array(x)[df.Cluster == category]\n",
    "    ys = np.array(y)[df.Cluster == category]\n",
    "    plt.scatter(xs, ys, color=color, alpha=0.3)\n",
    "\n",
    "    avg_x = xs.mean()\n",
    "    avg_y = ys.mean()\n",
    "\n",
    "    plt.scatter(avg_x, avg_y, marker=\"x\", color=color, s=100)\n",
    "plt.title(\"Clusters identified visualized in language 2d using t-SNE\")\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Visualization of clusters in a 2d projection. In this run, the green cluster (#1) seems quite different from the others. Let's see a few samples from each cluster."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2. Text samples in the clusters & naming the clusters\n",
    "\n",
    "Let's show random samples from each cluster. We'll use gpt-4 to name the clusters, based on a random sample of 5 reviews from that cluster."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cluster 0 Theme: The theme of these customer reviews is food products purchased on Amazon.\n",
      "5, Loved these gluten free healthy bars, saved $$ ordering on Amazon:   These Kind Bars are so good and healthy & gluten free.  My daughter ca\n",
      "1, Should advertise coconut as an ingredient more prominently:   First, these should be called Mac - Coconut bars, as Coconut is the #2\n",
      "5, very good!!:   just like the runts<br />great flavor, def worth getting<br />I even o\n",
      "5, Excellent product:   After scouring every store in town for orange peels and not finding an\n",
      "5, delicious:   Gummi Frogs have been my favourite candy that I have ever tried. of co\n",
      "----------------------------------------------------------------------------------------------------\n",
      "Cluster 1 Theme: Pet food reviews\n",
      "2, Messy and apparently undelicious:   My cat is not a huge fan. Sure, she'll lap up the gravy, but leaves th\n",
      "4, The cats like it:   My 7 cats like this food but it is a little yucky for the human. Piece\n",
      "5, cant get enough of it!!!:   Our lil shih tzu puppy cannot get enough of it. Everytime she sees the\n",
      "1, Food Caused Illness:   I switched my cats over from the Blue Buffalo Wildnerness Food to this\n",
      "5, My furbabies LOVE these!:   Shake the container and they come running. Even my boy cat, who isn't \n",
      "----------------------------------------------------------------------------------------------------\n",
      "Cluster 2 Theme: All the reviews are about different types of coffee.\n",
      "5, Fog Chaser Coffee:   This coffee has a full body and a rich taste. The price is far below t\n",
      "5, Excellent taste:   This is to me a great coffee, once you try it you will enjoy it, this \n",
      "4, Good, but not Wolfgang Puck good:   Honestly, I have to admit that I expected a little better. That's not \n",
      "5, Just My Kind of Coffee:   Coffee Masters Hazelnut coffee used to be carried in a local coffee/pa\n",
      "5, Rodeo Drive is Crazy Good Coffee!:   Rodeo Drive is my absolute favorite and I'm ready to order more!  That\n",
      "----------------------------------------------------------------------------------------------------\n",
      "Cluster 3 Theme: The theme of these customer reviews is food and drink products.\n",
      "5, Wonderful alternative to soda pop:   This is a wonderful alternative to soda pop.  It's carbonated for thos\n",
      "5, So convenient, for so little!:   I needed two vanilla beans for the Love Goddess cake that my husbands \n",
      "2, bot very cheesy:   Got this about a month ago.first of all it smells horrible...it tastes\n",
      "5, Delicious!:   I am not a huge beer lover.  I do enjoy an occasional Blue Moon (all o\n",
      "3, Just ok:   I bought this brand because it was all they had at Ranch 99 near us. I\n",
      "----------------------------------------------------------------------------------------------------\n"
     ]
    }
   ],
   "source": [
    "from openai import OpenAI\n",
    "import os\n",
    "\n",
    "client = OpenAI(api_key=os.environ.get(\"OPENAI_API_KEY\", \"<your OpenAI API key if not set as env var>\"))\n",
    "\n",
    "# Reading a review which belong to each group.\n",
    "rev_per_cluster = 5\n",
    "\n",
    "for i in range(n_clusters):\n",
    "    print(f\"Cluster {i} Theme:\", end=\" \")\n",
    "\n",
    "    reviews = \"\\n\".join(\n",
    "        df[df.Cluster == i]\n",
    "        .combined.str.replace(\"Title: \", \"\")\n",
    "        .str.replace(\"\\n\\nContent: \", \":  \")\n",
    "        .sample(rev_per_cluster, random_state=42)\n",
    "        .values\n",
    "    )\n",
    "\n",
    "    messages = [\n",
    "        {\"role\": \"user\", \"content\": f'What do the following customer reviews have in common?\\n\\nCustomer reviews:\\n\"\"\"\\n{reviews}\\n\"\"\"\\n\\nTheme:'}\n",
    "    ]\n",
    "\n",
    "    response = client.chat.completions.create(\n",
    "        model=\"gpt-4\",\n",
    "        messages=messages,\n",
    "        temperature=0,\n",
    "        max_tokens=64,\n",
    "        top_p=1,\n",
    "        frequency_penalty=0,\n",
    "        presence_penalty=0)\n",
    "    print(response.choices[0].message.content.replace(\"\\n\", \"\"))\n",
    "\n",
    "    sample_cluster_rows = df[df.Cluster == i].sample(rev_per_cluster, random_state=42)\n",
    "    for j in range(rev_per_cluster):\n",
    "        print(sample_cluster_rows.Score.values[j], end=\", \")\n",
    "        print(sample_cluster_rows.Summary.values[j], end=\":   \")\n",
    "        print(sample_cluster_rows.Text.str[:70].values[j])\n",
    "\n",
    "    print(\"-\" * 100)\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It's important to note that clusters will not necessarily match what you intend to use them for. A larger amount of clusters will focus on more specific patterns, whereas a small number of clusters will usually focus on largest discrepencies in the data."
   ]
  }
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